Evaluation of the ordered subset convex algorithm for cone-beam CT.

@article{Kole2005EvaluationOT,
  title={Evaluation of the ordered subset convex algorithm for cone-beam CT.},
  author={J. S. Kole and Freek J. Beekman},
  journal={Physics in medicine and biology},
  year={2005},
  volume={50 4},
  pages={
          613-23
        }
}
Statistical methods for image reconstruction such as maximum likelihood expectation maximization (ML-EM) are more robust and flexible than analytical inversion methods and allow for accurate modelling of the photon transport and noise. Statistical reconstruction is prohibitively slow when applied to clinical x-ray cone-beam CT due to the large data sets and the high number of iterations required for reconstructing high resolution images. One way to reduce the reconstruction time is to use… CONTINUE READING
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